Back to The Data Scientist’s Toolbox
Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
33,976 ratings
About the Course
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
Highlights
Foundational tools
(243 Reviews)
Introductory course
(1056 Reviews)
Top reviews
AK
Mar 12, 2020
I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.Thank you.
AI
Apr 24, 2018
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
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7151 - 7158 of 7,158 Reviews for The Data Scientist’s Toolbox
By Thomas V
•Dec 15, 2018
For beginners
By Deleted A
•Sep 6, 2016
very basic.
By Suman B
•Apr 6, 2020
Robotic.
By pengwei
•Apr 20, 2017
annoying
By pavani
•Oct 17, 2016
very bad
By Warren
•Feb 9, 2016
Not Free
By Mohammed S
•Jul 17, 2020
poor
By Andrew P
•Feb 9, 2016
I'm